Knowledge Hut

JULY 26, 2023

Consider exploring relevant Big Data Certification to deepen your knowledge and skills. What is Big Data? Big Data is the term used to describe extraordinarily massive and complicated datasets that are difficult to manage, handle, or analyze using conventional data processing methods.

Big Data 52

Big Data Data Cleanse Retail Healthcare 52

Knowledge Hut

JANUARY 29, 2024

Examples of Data Wrangling Data wrangling can be applied in various scenarios, making it a versatile and valuable process. Here are some common examples: Merging Data Sources : Combining data from multiple sources into one cohesive dataset for analysis, facilitating comprehensive insights.

Raw Data 52

Raw Data Data Mining Data Preparation Structured Data 52

Knowledge Hut

OCTOBER 30, 2023

Data Analysis: Perform basic data analysis and calculations using DAX functions under the guidance of senior team members. Data Integration: Assist in integrating data from multiple sources into Power BI, ensuring data consistency and accuracy. Ensure compliance with data protection regulations.

BI 52

BI Business Intelligence Data Cleanse Business Analyst 52

Striim

JANUARY 4, 2023

Companies need to analyze large volumes of datasets, leading to an increase in data producers and consumers within their IT infrastructures. These companies collect data from production applications and B2B SaaS tools (e.g., This data makes its way into a data repository, like a data warehouse (e.g.,

PostgreSQL 52

PostgreSQL Data Warehouse Data Lake Data 52

Databand.ai

NOVEMBER 4, 2022

If the data includes an old record or an incorrect value, then it’s not accurate and can lead to faulty decision-making. Data content: Are there significant changes in the data profile? Data validation: Does the data conform to how it’s being used? But when the data comes through, we see six columns.

Data 52

Data Data Pipeline Retail Metadata 52

RandomTrees

SEPTEMBER 6, 2020

A combination of structured and semi structured data can be used for analysis and loaded into the cloud database without the need of transforming into a fixed relational scheme first. Snowflake allows the loading of both structured and semi-structured datasets from cloud storage.

Cloud Storage 52

Cloud Storage Data Ingestion Data Cleanse Data Warehouse 52

Precisely

OCTOBER 5, 2023

Data integrity is all about building a foundation of trusted data that empowers fast, confident decisions that help you add, grow, and retain customers, move quickly and reduce costs, and manage risk and compliance – and you need data enrichment to optimize those results. Read Why is Data Enrichment Important?

Raw Data 69

Raw Data Insurance Datasets Telecommunication 69